Michael Masin

832 total citations
35 papers, 532 citations indexed

About

Michael Masin is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Hardware and Architecture. According to data from OpenAlex, Michael Masin has authored 35 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Industrial and Manufacturing Engineering, 9 papers in Management Science and Operations Research and 8 papers in Hardware and Architecture. Recurrent topics in Michael Masin's work include Scheduling and Optimization Algorithms (11 papers), Assembly Line Balancing Optimization (7 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Michael Masin is often cited by papers focused on Scheduling and Optimization Algorithms (11 papers), Assembly Line Balancing Optimization (7 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Michael Masin collaborates with scholars based in Israel, United States and Italy. Michael Masin's co-authors include Joseph Bukchin, Yossi Bukchin, Yale T. Herer, Stavros Tripakis, Edward A. Lee, David Broman, Michael Wetter, Alberto Sangiovanni‐Vincentelli, Ezey M. Dar‐El and Pierluigi Nuzzo and has published in prestigious journals such as European Journal of Operational Research, Operations Research and International Journal of Production Research.

In The Last Decade

Michael Masin

35 papers receiving 513 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Masin Israel 13 224 120 119 110 92 35 532
Joachim Denil Belgium 13 106 0.5× 115 1.0× 80 0.7× 87 0.8× 69 0.8× 82 474
Marina Zanella Italy 10 115 0.5× 45 0.4× 337 2.8× 139 1.3× 48 0.5× 56 558
J.M. van de Mortel‐Fronczak Netherlands 12 83 0.4× 31 0.3× 288 2.4× 82 0.7× 92 1.0× 63 432
Wayne J. Davis United States 14 303 1.4× 183 1.5× 133 1.1× 131 1.2× 22 0.2× 54 703
Přemysl Šůcha Czechia 13 281 1.3× 124 1.0× 65 0.5× 66 0.6× 138 1.5× 49 534
Wim Nuijten Netherlands 9 496 2.2× 226 1.9× 61 0.5× 53 0.5× 47 0.5× 19 690
James O. Henriksen United States 14 83 0.4× 374 3.1× 75 0.6× 62 0.6× 26 0.3× 58 561
Tim Weilkiens Germany 7 88 0.4× 48 0.4× 36 0.3× 157 1.4× 29 0.3× 15 377
Brian Schott United States 11 92 0.4× 90 0.8× 66 0.6× 49 0.4× 70 0.8× 41 424
Kiam Tian Seow Singapore 12 70 0.3× 42 0.3× 136 1.1× 58 0.5× 35 0.4× 45 459

Countries citing papers authored by Michael Masin

Since Specialization
Citations

This map shows the geographic impact of Michael Masin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Masin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Masin more than expected).

Fields of papers citing papers by Michael Masin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Masin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Masin. The network helps show where Michael Masin may publish in the future.

Co-authorship network of co-authors of Michael Masin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Masin. A scholar is included among the top collaborators of Michael Masin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Masin. Michael Masin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Masin, Michael, et al.. (2021). Revised SCLP-simplex Algorithm with Application to Large-Scale Fluid Processing Networks. 2021 60th IEEE Conference on Decision and Control (CDC). 2 indexed citations
2.
Meloni, Paolo, Daniela Loi, Andy D. Pimentel, et al.. (2019). Optimization and deployment of CNNs at the edge. UvA-DARE (University of Amsterdam). 326–332. 7 indexed citations
3.
Masin, Michael, et al.. (2019). Elicitation of technical requirements in large research projects. UNICA IRIS Institutional Research Information System (University of Cagliari). 1629–1632. 1 indexed citations
4.
Meloni, Paolo, Daniela Loi, Andy D. Pimentel, et al.. (2018). ALOHA. UvA-DARE (University of Amsterdam). 7 indexed citations
5.
Nuzzo, Pierluigi, et al.. (2015). Optimized selection of reliable and cost-effective cyber-physical system architectures. Design, Automation, and Test in Europe. 561–566. 14 indexed citations
6.
Nuzzo, Pierluigi, et al.. (2015). Optimized Selection of Reliable and Cost-Effective Cyber-Physical System Architectures. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015. 561–566. 14 indexed citations
7.
Masin, Michael, et al.. (2014). Robust Optimization of System Design. Procedia Computer Science. 28. 489–496. 5 indexed citations
8.
Broman, David, Christopher Brooks, Edward A. Lee, et al.. (2013). Determinate composition of FMUs for co-simulation. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–12. 66 indexed citations
9.
Masin, Michael, et al.. (2012). Algorithms for Finding Maximum Diversity of Design Variables in Multi-Objective Optimization. Procedia Computer Science. 8. 171–176. 6 indexed citations
10.
Masin, Michael, et al.. (2012). 1.6.2 Generic Approach for Systems Design Optimization in MBSE1. INCOSE International Symposium. 22(1). 184–200. 9 indexed citations
11.
Feldman, Zohar, et al.. (2011). Using approximate dynamic programming to optimize admission control in cloud computing environment. Winter Simulation Conference. 3158–3169. 7 indexed citations
12.
Feldman, Zohar, et al.. (2011). Using approximate dynamic programming to optimize admission control in cloud computing environment. 4. 3153–3164. 6 indexed citations
13.
Masin, Michael & Vittal Prabhu. (2008). AWIP: A simulation-based feedback control algorithm for scalable design of self-regulating production control systems. IIE Transactions. 41(2). 120–133. 6 indexed citations
14.
Masin, Michael, et al.. (2007). Dynamic scheduling of production-assembly networks in a distributed environment. IIE Transactions. 39(4). 395–409. 10 indexed citations
15.
Bukchin, Joseph & Michael Masin. (2004). Multi-objective lot splitting for a single productm-machine flowshop line. IIE Transactions. 36(2). 191–202. 27 indexed citations
16.
Masin, Michael, et al.. (2003). A parameter variation modeling approach for enterprise optimization. IEEE Transactions on Robotics and Automation. 19(4). 529–542. 2 indexed citations
17.
Bukchin, Joseph & Michael Masin. (2003). Multi-objective design of team oriented assembly systems. European Journal of Operational Research. 156(2). 326–352. 51 indexed citations
18.
Bukchin, Joseph, et al.. (2001). An efficiency frontier approach for the design of cellular manufacturing systems in a lumpy demand environment. European Journal of Operational Research. 134(2). 346–364. 21 indexed citations
19.
Dar‐El, Ezey M., Yale T. Herer, & Michael Masin. (1999). CONWIP-based production lines with multiple bottlenecks: performance and design implications. IIE Transactions. 31(2). 99–111. 7 indexed citations
20.
Herer, Yale T. & Michael Masin. (1997). Mathematical programming formulation of CONWIP based production lines; and relationships to MRP. International Journal of Production Research. 35(4). 1067–1076. 34 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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